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CIKM
2007
Springer
16 years 27 days ago
Predictive user click models based on click-through history
Web search engines consistently collect information about users interaction with the system: they record the query they issued, the URL of presented and selected documents along w...
Benjamin Piwowarski, Hugo Zaragoza
CIKM
2011
Springer
14 years 6 months ago
S3K: seeking statement-supporting top-K witnesses
Traditional information retrieval techniques based on keyword search help to identify a ranked set of relevant documents, which often contains many documents in the top ranks that...
Steffen Metzger, Shady Elbassuoni, Katja Hose, Ral...
DBSEC
2004
108views Database» more  DBSEC 2004»
15 years 8 months ago
Why Is this User Asking so Many Questions? Explaining Sequences of Queries
A sequence of queries submitted by a database user within a short period of time may have a single, illuminating explanation. In this paper we consider sequences of single-record q...
Aybar C. Acar, Amihai Motro
CIVR
2006
Springer
139views Image Analysis» more  CIVR 2006»
15 years 10 months ago
Using High-Level Semantic Features in Video Retrieval
Extraction and utilization of high-level semantic features are critical for more effective video retrieval. However, the performance of video retrieval hasn't benefited much d...
Wujie Zheng, Jianmin Li, Zhangzhang Si, Fuzong Lin...
WWW
2009
ACM
16 years 7 months ago
Search result re-ranking based on gap between search queries and social tags
Both search engine click-through log and social annotation have been utilized as user feedback for search result re-ranking. However, to our best knowledge, no previous study has ...
Jun Yan, Ning Liu, Elaine Qing Chang, Lei Ji, Zhen...